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20242026
most citedMulti-View Incongruity Learning for Multimodal Sarcasm Detection

1 citations · 1 across the 6 of their papers we have counts for

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6 papers

cs.AI2026

PRISMA: Reinforcement Learning Guided Two-Stage Policy Optimization in Multi-Agent Architecture for Open-Domain Multi-Hop Question Answering

Yu Liu, Wenxiao Zhang, Cong Cao +10

Answering real-world open-domain multi-hop questions over massive corpora is a critical challenge in Retrieval-Augmented Generation (RAG) systems. Recent research employs reinforce…

cs.CL2025

Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation

Kun Peng, Cong Cao, Hao Peng +5

Current Emotion Recognition in Conversation (ERC) research follows a closed-domain assumption. However, there is no clear consensus on emotion classification in psychology, which p…

cs.CL2025

Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning

Kun Peng, Cong Cao, Hao Peng +5

Dialogues Aspect-based Sentiment Quadruple Extraction (DiaASQ) aims to extract all target-aspect-opinion-sentiment quadruples from a given multi-round, multi-participant dialogue.…

cs.CL2025

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction

Kun Peng, Chaodong Tong, Cong Cao +6

Aspect sentiment triplet extraction (ASTE) aims to extract triplets composed of aspect terms, opinion terms, and sentiment polarities from given sentences. The table tagging method…

cs.CL20241 cited

Multi-View Incongruity Learning for Multimodal Sarcasm Detection

Diandian Guo, Cong Cao, Fangfang Yuan +5

Multimodal sarcasm detection (MSD) is essential for various downstream tasks. Existing MSD methods tend to rely on spurious correlations. These methods often mistakenly prioritize…

cs.CL2024

Can Multimodal Large Language Model Think Analogically?

Diandian Guo, Cong Cao, Fangfang Yuan +4

Analogical reasoning, particularly in multimodal contexts, is the foundation of human perception and creativity. Multimodal Large Language Model (MLLM) has recently sparked conside…